Pre-filtering is a critical step in 3-D segmentation of the blood vessel and its display. This paper presents the local effect of window/level over the 3-D scale-space approach for filtering the white blood angiographic volumes and its implementation issues. The raw MR angiographic volume is first converted to an isotropic volume, and then the window/level is automatically adjusted slice by slice and a composite volume is generated. Then, 3-D edges are generated using the separable Gaussian derivative convolution with known scales. The edge volume is then run by the directional processor at each voxel where the eigenvalues of the 3-D ellipsoid are computed. The vessel score per voxel is then estimated based on these three eigenvalues which suppress the non-vasculature and background structures, yielding the filtered volume. The filtered volume is ray-cast to generate the maximum intensity projection images for display. The performance of the system is evaluated by computing the mean, variance, SNR and CNR images. We compare the filtering results with and without the usage of the local effect of window/level over 3-D scale-space ellipsoidal filtering. We show that the automatic window/level is effective in detecting small vessels which are otherwise difcult to extrapolate them. The system was run over 20 patient studies from different parts of the body such as: brain, abdomen, kidney and knee/ankle. The computer program takes around 150 seconds of processing time per study for study for a data size of 512 × 512 × 194 which includes the complete performance evaluation.